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Terme regroupant photographies et images issues de différents capteurs.
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Land cover dependant error intermap IFSAR DTM: Lidar comparison and fusion potential / S. Coveney in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 3 (March 2013)
[article]
Titre : Land cover dependant error intermap IFSAR DTM: Lidar comparison and fusion potential Type de document : Article/Communication Auteurs : S. Coveney, Auteur Année de publication : 2013 Article en page(s) : pp 277 - 286 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] analyse comparative
[Termes IGN] bande X
[Termes IGN] données lidar
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] modèle numérique de terrain
[Termes IGN] occupation du solRésumé : (Auteur) Elevation error in the Intermap X-band airborne Interferometric Synthetic Aperture Radar dtm data set is defined in a 260-hectare mixed land-cover area using external dual-frequency GPS and bare-earth lidar point-cloud validation data. Absolute elevation error is reported globally, and within land-cover classes characterized by distinctive vegetation canopy densities and depths that are considered to have the potential to affect X-band dtm elevation error in distinctive ways. Observed global and land-cover specific elevation errors are subsequently compared with an external study where land-cover dependent errors were quantified within four lidar data sets that overlapped the IFSAR DTM validation area. The results of these absolute and comparative results are subse-quently used to make recommendations regarding the poten-tial of Intermap bare-earth IFSAR DTM data in environmental modeling applications elsewhere, and the scope for using the data in conjunction with, and as an alternative to airborne lidar data is discussed. Numéro de notice : A2013-105 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.3.277 En ligne : https://doi.org/10.14358/PERS.79.3.277 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32243
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 3 (March 2013) . - pp 277 - 286[article]Learning with transductive SVM for semisupervised pixel classification of remote sensing imagery / Ujjwal Maulik in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)
[article]
Titre : Learning with transductive SVM for semisupervised pixel classification of remote sensing imagery Type de document : Article/Communication Auteurs : Ujjwal Maulik, Auteur ; Debasis Chakraborty, Auteur Année de publication : 2013 Article en page(s) : pp 66 - 78 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Bombay
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] classification pixellaire
[Termes IGN] classification semi-dirigée
[Termes IGN] image infrarouge couleur
[Termes IGN] image SPOT
[Termes IGN] Inde
[Termes IGN] villeRésumé : (Auteur) Land cover classification using remotely sensed data requires robust classification methods for the accurate mapping of complex land cover area of different categories. In this regard, support vector machines (SVMs) have recently received increasing attention. However, small number of training samples remains a bottleneck to design suitable supervised classifiers. On the other hand, adequate number of unlabeled data is available in remote sensing images which can be employed as additional source of information about margins. To fully leverage all of the precious unlabeled data, integration of filtering in a transductive SVM is proposed. Using two labeled image datasets of small size and two large unlabeled image datasets, the effectiveness of the proposed method is explored. Experimental results show that the proposed technique achieves average overall accuracies of around 4.5–7.8%, 0.8–2.6% and 0.9–2.2% more than the standard inductive SVM (ISVM), progressive transductive SVM (PTSVM) and low density separation (LDS) classifiers, respectively on larger domains in case of labeled datasets. Using image datasets, visual interpretation from the classified images as well as the segmentation quality reveal that the proposed method can efficiently filter informative data from the unlabeled samples. Numéro de notice : A2013-116 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.12.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.12.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32254
in ISPRS Journal of photogrammetry and remote sensing > vol 77 (March 2013) . - pp 66 - 78[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2013031 RAB Revue Centre de documentation En réserve L003 Disponible Maintaining the long-term calibration of the Jason-2/OSTM advanced microwave radiometer through intersatellite calibration / Shannon Brown in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)
[article]
Titre : Maintaining the long-term calibration of the Jason-2/OSTM advanced microwave radiometer through intersatellite calibration Type de document : Article/Communication Auteurs : Shannon Brown, Auteur Année de publication : 2013 Article en page(s) : pp 1531 - 1543 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] dégradation du signal
[Termes IGN] étalonnage relatif
[Termes IGN] image Jason-AMR
[Termes IGN] propagation troposphérique
[Termes IGN] radiomètre à hyperfréquence
[Termes IGN] température de luminanceRésumé : (Auteur) A method is applied to maintain the long-term calibration of a microwave radiometer through intersatellite calibration and is used to mitigate an observed calibration drift of the Advanced Microwave Radiometer (AMR) on Jason-2/Ocean Surface Topography Mission. The AMR provides a correction for the wet tropospheric path delay (PD) of the radar altimeter signal, and it is critical that any drift in the radiometer be estimated and removed to enable studies of global mean sea-level variability. The intersatellite calibration method transfers the long-term calibration from other satellite microwave radiometers using a transfer function to map the other sensor's brightness temperature (TB) observations to those of the AMR. Intersensor mapping functions are derived separately for ocean observations and observations over the Amazon rainforest. This provides a warm and cold TB calibration reference to enable the distinction between long-term gain and offset drifts. A database of co-incident observations is generated between the AMR and conically scanning microwave sensors, namely, AMSR-E, TMI, and SSMIS. Monthly averaged differences are found between the AMR and the AMR equivalent TBs computed from the reference sensors. The apparent change in the AMR calibration determined from the three reference sensors is intercompared between the sensors and compared to that determined using natural on-Earth references. It is found that apparent trends in the AMR TBs between the reference sensors and the natural on-Earth references agree within a month to better than 0.4 K. The AMR 18.7- and 23.8-GHz channels are found to be stable to 0.5 K over the first three years of the mission, and the calibration 34.0-GHz channel is found to drift downward by approximately 6 K. In all channels, the calibration change is determined to be a series of offset jumps (independent of TB). These calibration changes in each AMR channel are estimated and removed using the comparisons to the reference sensors. The uncertainty in the PD long-term stability after recalibration is estimated to be less than 0.5 mm/year from July 2008 to August 2011. Numéro de notice : A2013-128 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2213262 En ligne : https://doi.org/10.1109/TGRS.2012.2213262 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32266
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 3 Tome 1 (March 2013) . - pp 1531 - 1543[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2013031A RAB Revue Centre de documentation En réserve L003 Disponible Photogrammetric techniques for the determination of spatio-temporal velocity fields at glaciar San Rafael, Chile / Hans-Gerd Maas in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 3 (March 2013)
[article]
Titre : Photogrammetric techniques for the determination of spatio-temporal velocity fields at glaciar San Rafael, Chile Type de document : Article/Communication Auteurs : Hans-Gerd Maas, Auteur ; G. Casasa, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 299 - 306 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse spatio-temporelle
[Termes IGN] champ de vitesse
[Termes IGN] Chili
[Termes IGN] géoréférencement
[Termes IGN] glacier
[Termes IGN] image terrestre
[Termes IGN] Patagonie
[Termes IGN] positionnement par GPS
[Termes IGN] séquence d'imagesRésumé : (Auteur) Glaciar San Rafael in the Northern Patagonia Icefield, with a length of 46 km and an ice area of 722 km2, is the lowest latitude tidewater outlet glacier in the world and one of the fastest and most productive glaciers in southern South America in terms of iceberg flux. Spatio-temporal velocity fields in the region of the glacier front were determined from monoscopic terrestrial image sequences recorded by an inter-vallometer mode high-resolution digital camera over several days. In these image sequences, a large number of glacier surface points were tracked by subpixel accuracy feature tracking techniques. Scaling and georeferencing of the trajectories obtained from image space tracking was performed using a multi-station GPS-supported photogrammetric net-work. The technique allows for tracking hundreds of glacier surface points at a measurement accuracy in the order of one decimeter, for typical glacier movement rates, and an almost arbitrarily high temporal resolution. The results show velocities of up to 16 meters per day. Numéro de notice : A2013-106 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.3.299 En ligne : https://doi.org/10.14358/PERS.79.3.299 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32244
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 3 (March 2013) . - pp 299 - 306[article]Remote sensing of seasonal variability of fractional vegetation cover and its object-based spatial pattern analysis over mountain areas / Guijun Yang in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)
[article]
Titre : Remote sensing of seasonal variability of fractional vegetation cover and its object-based spatial pattern analysis over mountain areas Type de document : Article/Communication Auteurs : Guijun Yang, Auteur ; Ruiliang Pu, Auteur ; Jixian Zhang, Auteur ; Chunjiang Zhao, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 79 - 93 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] couvert végétal
[Termes IGN] effet atmosphérique
[Termes IGN] image Landsat-TM
[Termes IGN] montagne
[Termes IGN] Pékin (Chine)
[Termes IGN] variabilité
[Termes IGN] variation saisonnièreRésumé : (Auteur) Fractional vegetation cover (FVC) is an important indicator of mountain ecosystem status. A study on the seasonal changes of FVC can be beneficial for regional eco-environmental security, which contributes to the assessment of mountain ecosystem recovery and supports mountain forest planning and landscape reconstruction around megacities, for example, Beijing, China. Remote sensing has been demonstrated to be one of the most powerful and feasible tools for the investigation of mountain vegetation. However, topographic and atmospheric effects can produce enormous errors in the quantitative retrieval of FVC data from satellite images of mountainous areas. Moreover, the most commonly used analysis approach for assessing FVC seasonal fluctuations is based on per-pixel analysis regardless of the spatial context, which results in pixel-based FVC values that are feasible for landscape and ecosystem applications. To solve these problems, we proposed a new method that incorporates the use of a revised physically based (RPB) model to correct both atmospheric and terrain-caused illumination effects on Landsat images, an improved vegetation index (VI)-based technique for estimating the FVC, and an adaptive mean shift approach for object-based FVC segmentation. An array of metrics for segmented FVC analyses, including a variety of area metrics, patch metrics, shape metrics and diversity metrics, was generated. On the basis of the individual segmented FVC values and landscape metrics from multiple images of different dates, remote sensing of the seasonal variability of FVC was conducted over the mountainous area of Beijing, China. The experimental results indicate that (a) the mean value of the RPB–NDVI in all seasons was increased by approximately 10% compared with that of the atmospheric correction-NDVI; (b) a strong consistency was demonstrated between ground-based FVC observations and FVC estimated through remote sensing technology (R2 = 0.8527, RMSE = 0.0851); and (c) seasonal changes in the landscape characteristics existed, and the landscape diversity reached its maximum in May and June in the study area. Numéro de notice : A2013-117 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.11.008 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.11.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32255
in ISPRS Journal of photogrammetry and remote sensing > vol 77 (March 2013) . - pp 79 - 93[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2013031 RAB Revue Centre de documentation En réserve L003 Disponible Sampling piecewise convex unmixing and endmember extraction / Alina Zare in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 2 (March 2013)PermalinkSpectral compatibility of the NDVI across VIIRS, MODIS, and AVHRR: An analysis of atmospheric effects using EO-1 Hyperion / Tomoaki Miura in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)PermalinkTopological gradient connection analysis for feature detection / Chao-Yuan Lo in Photogrammetric record, vol 28 n° 141 (March - May 2013)PermalinkVirtual worlds for photogrammetric image-based simulation and learning / Eduardo J. Piatti in Photogrammetric record, vol 28 n° 141 (March - May 2013)PermalinkAutomatic orientation and 3D modelling from markerless rock art imagery / J. Lerma in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)PermalinkClassification and reconstruction from random projections for hyperspectral imagery / W. Li in IEEE Transactions on geoscience and remote sensing, vol 51 n° 2 (February 2013)PermalinkDual-Polarimetric signatures of vegetation – a case study Biebrza / Dariusz Ziolkowski in Geoinformation issues, vol 5 n° 1 (2013)PermalinkA graph-based classification method for hyperspectral images / J. Bai in IEEE Transactions on geoscience and remote sensing, vol 51 n° 2 (February 2013)PermalinkGrowing demand / A. Cheremisova in GEO: Geoconnexion international, vol 12 n° 2 (february 2013)PermalinkJoint wall mitigation and compressive sensing for indoor image reconstruction / E. Lagunas in IEEE Transactions on geoscience and remote sensing, vol 51 n° 2 (February 2013)PermalinkR-Pod, essais en forêt dense ivoirienne avec un drone / N. Delley in Géomatique suisse, vol 111 n° 2 (01/02/2013)PermalinkRadarsat-2: A powerful solution for global forest monitoring needs / M.W. Van Der Kooij in GEO: Geoconnexion international, vol 12 n° 2 (february 2013)PermalinkRetrieval of effective leaf area index in heterogeneous forests with terrestrial laser scanning / G. Zheng in IEEE Transactions on geoscience and remote sensing, vol 51 n° 2 (February 2013)PermalinkSpectral angle mapper and object-based classification combined with hyperspectral remote sensing imagery for obtaining land use/cover mapping in a Mediterranean region / George P. Petropoulos in Geocarto international, vol 28 n° 1-2 (February - May 2013)PermalinkSpectral material mapping using hyperspectral imagery : a review of spectral matching and library search methods / Sennaraj Vishnu in Geocarto international, vol 28 n° 1-2 (February - May 2013)PermalinkThrough-the-wall human motion indication using sparsity-driven change detection / F. Ahmad in IEEE Transactions on geoscience and remote sensing, vol 51 n° 2 (February 2013)PermalinkA 3D geospatial registration service for street level co-visualization of 2D vector maps / Quoc-Dinh Nguyen (2013)PermalinkAn automatic approach to UAV flight planning and control for photogrammetric applications: A test case in the Asturias region (Spain) / David Hernandez-Lopez in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 1 (January 2013)PermalinkAn underground-mining detection system based on DInSAR / Z. Hu in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 2 (January 2013)PermalinkAnalyse par télédétection des paysages agraires des villages de Barani, Sampieri et Orodara (Burkina Faso) / Marius Yao (2013)PermalinkAppariement entre images de point de vue éloignés par utilisation de carte de profondeur / Narut Soontranon (2013)PermalinkPermalinkPermalinkCent cinquante ans d'observation de la Terre / Laurent Polidori in Géomatique expert, n° 90 (01/01/2013)PermalinkPermalinkComparaison et évaluation de méthodes d'extraction automatique d'objets sur des images optique et radar / Charlotte Benedetto (2013)PermalinkComparison of VHR panchromatic texture features for tillage mapping / Nesrine Chehata (juillet 2013)PermalinkContribution of texture and red-edge band for vegetated areas detection and identification / Arnaud Le Bris (2013)PermalinkCrop yield estimation based on unsupervised linear unmixing of multidate hyperspectral imagery / B. Luo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)PermalinkDétection et identification de zones de végétation arborée et viticole : utilisation d’images satellite RapidEye et de données BDOrtho / Arnaud Le Bris (2013)PermalinkPermalinkDéveloppement d'outils et de méthodes pour l'estimation de la qualité des résultats de classification / Zhour Najoui (2013)PermalinkDirectionally adaptive filter for synthetic aperture radar interferometric phase images / S. Fu in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 2 (January 2013)PermalinkPermalinkPermalinkEstimation de la qualité des résultats [d'une] classification sous ENVI / Nidal Aburajab (2013)PermalinkEuroSDR project Commission 1, Radiometric aspects of digital photogrammetric images / Eija Honkavaara (2013)PermalinkEvaluation absolue de méthodes de localisation et de reconstruction panoramique et photogrammétrique d'un tunnel à partir d'un nuage de points de référence appliquée au tunnel-canal de Niderviller / Paul Chavant (2013)PermalinkEvaluation de l'apport de la télédétection radar pour la cartographie des végétations dans le Parc du Pilat / Cécile Cazals (2013)PermalinkExperimental study on the atmospheric delay based on GPS, SAR Interferometry, and numerical weather model data / P. Mateus in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)PermalinkPermalinkA hybrid multiview stereo algorithm for modeling urban scenes / Florent Lafarge in IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, vol 35 n° 1 (January 2013)PermalinkImproved nonsubsampled contourlet transform for multi-sensor image registration / R. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 1 (January 2013)PermalinkIntegrating radar and laser-based remote sensing techniques for monitoring structural deformation of archaeological monuments / Deodato Tapete in Journal of archaeological science, vol 40 n° 1 (January 2013)PermalinkJoint estimation of moving target reflectivity and velocity via AT-InSAR systems based on complex interferometric data / Alessandra Budillon in ISPRS Journal of photogrammetry and remote sensing, vol 75 (January 2013)Permalink